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Polynomial regression interval-valued fuzzy systems
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DOI：10.1007/s00500-007-0189-4.png)
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摘要
En 中文
In recent years, the type-2 fuzzy sets theory has been used to model and minimize the effects of uncertainties in rule-base fuzzy logic system (FLS). In order to make the type-2 FLS reasonable and reliable, a new simple and novel statistical method to decide interval-valued fuzzy membership functions and probability type reduce reasoning method for the interval-valued FLS are developed. We have implemented the proposed non-linear (polynomial regression) statistical interval-valued type-2 FLS to perform smart washing machine control. The results show that our quadratic statistical method is more robust to design a reliable type-2 FLS and also can be extend to polynomial model.
Keyword:
interval-valued fuzzy logic
type-2 fuzzy logic
statistical interval-valued fuzzy reasoning
fuzzy control
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